Background Concentration of Pollutants

M. Gonçalves
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Abstract

Determining background concentration of pollutants in surface and groundwaters is a particularly difficult task, but a most important one because of the definition of water quality standards. The major difficulty resides in the dynamic nature of pollutant dispersion and persistence in water systems and its individual characteristics, thus making it sometimes hard to distinguish between contaminated and uncontaminated samples based in one or a limited number of elements. The factors that determine the water chemistry are briefly discussed with some relevant examples, because it is essential to understand global water chemistry. A distinction between background concentration of inorganic and organic pollutants is made, which is because the former can have both natural and anthropogenic derived sources, whereas the latter are exclusively because of anthropogenic activities. In either case, determining background concentrations requires a representative set of water samples unaffected by factors that can change an element's concentration considerably in that system. These samples should preferably be taken in the same area, or at least in similar geological contexts. When this is not achieved satisfactorily, the use of probability plots or geostatistical methods, such as factorial kriging, may be possible solutions to the problem. Keywords: inorganic pollutants; organic pollutants; remediation; biodegradation; trace elements; drinking water standard; sampling; probability plots; factorial kriging; uncontaminated samples; anthropogenic impacts
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污染物本底浓度
确定地表水和地下水中污染物的本底浓度是一项特别困难的任务,但由于水质标准的定义,这是一项最重要的任务。主要的困难在于污染物在水系统中扩散和持续存在的动态性质及其个别特征,因此有时很难根据一种或有限数量的元素区分受污染和未受污染的样品。由于了解全球水化学是至关重要的,因此,通过一些相关的例子,简要地讨论了决定水化学的因素。对无机污染物和有机污染物的背景浓度进行了区分,这是因为前者既有自然来源,也有人为来源,而后者完全是人为活动造成的。在任何一种情况下,确定背景浓度都需要一组具有代表性的水样,这些水样不受可能大大改变该系统中某一元素浓度的因素的影响。这些样品最好在同一地区,或至少在相似的地质环境中采集。当这不能令人满意地实现时,使用概率图或地质统计学方法,如析因克里格,可能是解决问题的可能方法。关键词:无机污染物;有机污染物;修复;生物降解;微量元素;饮用水标准;抽样;概率情节;的阶乘克里格;未被污染的样品;人为影响
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